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A Study on Personalized Search System Based on Subject Classification

  • Journal of the Korean Society for Library and Information Science
  • 2011, 45(4), pp.77-102
  • DOI : 10.4275/KSLIS.2011.45.4.077
  • Publisher : 한국문헌정보학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : October 1, 2011
  • Accepted : November 17, 2011

Kwang-Young Kim 1 Kwak, Seung-Jin 2

1한국과학기술정보연구원
2충남대학교

Accredited

ABSTRACT

The purpose of this study is to design, implement and evaluate a personalized search system using gathered information on users to provide more accurate search results. For this purpose, a hybrid-based user profile is constructed by using subject classification. In order to evaluate the performance of the proposed system, experts directly measured and evaluated MRR, MAP and usability by using the Korean journal articles of science and technology DB. Its performance was better than the general search system in the area of “Computer Science” and “Library and Information Science”. Especially better results were shown when tested on ambiguous keywords. Evaluation through in-depth interviews proved that the proposed personalized search system was more efficient in looking up and obtaining information. In addition, the proposed personalized search system provided a variety of recommendation systems which proved helpful in navigating for new information. High user satisfaction ratings on the proposed personalized search system were another proof of its usefulness. In this study, we were able to prove through expert evaluation that the proposed personalized search system was more efficient in information retrieval.

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